# Calling all AMD RDNA users: help us bring full MAX support to your GPUs!

**URL:** <https://forum.modular.com/t/calling-all-amd-rdna-users-help-us-bring-full-max-support-to-your-gpus/2015>\
**Category:** GPU Programming\
**Tags:** discussion, gpu\
**Created:** [July 25, 2025, 3:09pm UTC](https://forum.modular.com/t/calling-all-amd-rdna-users-help-us-bring-full-max-support-to-your-gpus/2015 "2025-07-25T15:09:40Z")\
**Posts on this page:** 1\
**Showing post:** 9

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**Author:** ![BradLarson](https://sea1.discourse-cdn.com/flex001/user_avatar/forum.modular.com/bradlarson/32/62_2.png) [@BradLarson](https://forum.modular.com/u/BradLarson)\
**Post date:** [April 9, 2026, 9:42pm UTC](https://forum.modular.com/t/calling-all-amd-rdna-users-help-us-bring-full-max-support-to-your-gpus/2015/9 "2026-04-09T21:42:03Z")

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Ha, also realized I never came back and updated this thread to note that the original goal has been achieved and [we can indeed run MAX models on AMD RDNA GPUs today](https://forum.modular.com/t/initial-support-for-running-max-models-on-amd-rdna-gpus/2744). I’ve also been hacking on some enhancements to matmul and 2-D convolution for RDNA 3+ GPUs that I mention above, which have significantly improved performance over our initial naive implementations of those kernels. Models like FLUX.2-klein actually run fairly well locally on an AMD Strix Halo system (Framework Desktop) using MAX in our latest nightlies.

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_[View the full topic](https://forum.modular.com/t/calling-all-amd-rdna-users-help-us-bring-full-max-support-to-your-gpus/2015)._